Computational Intelligence

The following definition is quoted from http://www.computelligence.org/download/citutorial.pdf

"A methodology involving computing that exhibits an ability to learn and/or to deal with new situations, such that the system is perceived to possess one or more attributes of reason, such as generalization, discovery, association and abstraction. Silicon-based computational intelligence systems usually comprise hybrids of paradigms such as artificial neural networks, fuzzy systems, and evolutionary algorithms, augmented with knowledge elements, and are often designed to mimic one or more aspects of carbon-based biological intelligence.Computational intelligence comprises practical adaptation concepts, paradigms, algorithms and implementations that enable or facilitate appropriate actions (intelligent behavior) in complex and changing environments."

Biomedical Engineering

The following definition is quoted from http://www.whitaker.org/glance/definition.html

Biomedical engineering is a discipline that advances knowledge in engineering, biology and medicine, and improves human health through cross-disciplinary activities that integrate the engineering sciences with the biomedical sciences and clinical practice. It includes:

1. The acquisition of new knowledge and understanding of living systems through the innovative and substantive application of experimental and analytical techniques based on the engineering sciences.
2. The development of new devices, algorithms, processes and systems that advance biology and medicine and improve medical practice and health care delivery.

Keywords

Structural Health Monitoring

Structural health monitoring of civil infrastructure, bridge monitoring, wireless sensors, vibration sensors, wireless sensor network, MEMS accelerometer, wireless accelerometer, structural health management, wireless actuator, RFID sensor, SHM, NDE, NDT, wireless temperature sensor, energy harvesting, vibration-based damage detection, strain energy method, monitoring of civil infrastructure, WISAN, Wireless Intelligent Sensor and Actuator Network, damage detection, condition assessement, remaining life prediction, fuzzy expert system for damage detection, strain energy mode shapes, AVLB.

Natural frequencies, damage detection, modal strain energy, damage detection from ambient vibrations, wireless data acquisition, MEMS accelerometer, wireless sensor network, change in modal parameters, change in natural frequencies, environmental change, wireless sensor network, piezoceramic patch, modal damage detection, field testing of bridges, AVLB, wireless accelerometer.

Structural health monitoring of civil infrastructure, bridge monitoring, wireless sensors, vibration sensors, wireless sensor network, MEMS accelerometer, wireless accelerometer, structural health management, wireless actuator, RFID sensor, SHM, NDE, NDT, wireless temperature sensor, energy harvesting, vibration-based damage detection, strain energy method, monitoring of civil infrastructure, WISAN, Wireless Intelligent Sensor and Actuator Network, damage detection, condition assessement, remaining life prediction, fuzzy expert system for damage detection, strain energy mode shapes, AVLB, natural frequencies, damage detection, modal strain energy, damage detection from ambient vibrations, wireless data acquisition, MEMS accelerometer, wireless sensor network, change in modal parameters, change in natural frequencies, environmental change, wireless sensor network, piezoceramic patch, modal damage detection, field testing of bridges, AVLB, wireless accelerometer.

Natural frequencies, damage detection, modal strain energy, damage detection from ambient vibrations, wireless data acquisition, MEMS accelerometer, wireless sensor network, change in modal parameters, change in natural frequencies, environmental change, wireless sensor network, piezoceramic patch, modal damage detection, field testing of bridges, AVLB, wireless accelerometer,

Structural health monitoring of civil infrastructure, bridge monitoring, wireless sensors, vibration sensors, wireless sensor network, MEMS accelerometer, wireless accelerometer, structural health management, wireless actuator, RFID sensor, SHM, NDE, NDT, wireless temperature sensor, energy harvesting, vibration-based damage detection, strain energy method, monitoring of civil infrastructure, WISAN, Wireless Intelligent Sensor and Actuator Network, damage detection, condition assessement, remaining life prediction, fuzzy expert system for damage detection, strain energy mode shapes, AVLB.

Computational intelligence

Computational intelligence, particle swarm optimization, neural networks, fuzzy logic, fuzzy expert systems, computational intelligence, neural networks, evolutionary programming, genetic programming, differential evolution, genetic algorithms, evolutionary algorithms, GP, EA, fuzzy inference, fuzzy inference engine, Java, fuzzy rules, membership functions, t-norm, s-norm, knowledge based systems, production system, rule evalution, firing strength, uncertanty.

Kohonen networks, raised-cosine RBF, radial basis functions, ART, backpropagation, least mean squares, Mamdani controller, SAM, larsen controller, sugeno inference, time series, chaotic time series, alpha-cut, fuzzy engine for Java, fuzzy engine for C#, fuzzy parser, open-source fuzzy engine.

LVQ, learning vector quantization, self-organizing networks, search, knowledge representation, and reasoning, statistical learning theory, support vector machines, neural networks and the design of learning algorithms, support vector machines, classification and pattern recognition.

Kohonen networks, raised-cosine RBF, radial basis functions, ART, backpropagation, least mean squares, Mamdani controller, SAM, larsen controller, sugeno inference, time series, chaotic time series, alpha-cut, fuzzy engine for Java, fuzzy engine for C#, fuzzy parser, open-source fuzzy engine, Computational intelligence, particle swarm optimization, neural networks, fuzzy logic, fuzzy expert systems, computational intelligence, neural networks, evolutionary programming, genetic programming, differential evolution, genetic algorithms, evolutionary algorithms, GP, EA, fuzzy inference, fuzzy inference engine, Java, fuzzy rules, membership functions, t-norm, s-norm, knowledge based systems, production system, rule evalution, firing strength, uncertanty, LVQ, learning vector quantization, self-organizing networks, search, knowledge representation, and reasoning, statistical learning theory, support vector machines, neural networks and the design of learning algorithms, support vector machines, classification and pattern recognition.

Sensor networks

Sensor networks, ultra-low power sensor nodes, 802.15.4, wireless sensors, low rate wireless personal area networks, WLAN, WPAN, wireless sensor network topology, network architecture, sensor power consumption, 2.4Ghz frequency band, receiver sensitivity, sensor network architecture, ISM band, self-organizing network, AES security, quality of service QOS, Zigbee, wireless Zigbee, wireless 802.15.4 physical layer, MAC layer, network layer, ad-hoc networks.

Channel access in sensor networks, Access control, peer-to-peer topology, data rate 1Mbps, data rate 250Kbps, data services, star topology, peer-to-peer topology, two-layer cluster tree, 2.4Ghz, MAC data transfer, wireless structural monitoring, wireless sensors, wireless accelerometers, autonomous damage detection, beacon, localization in sensor networks, global time synchronization, beacon frames, data frames.

Motes, Tiny OS, real-time kernel, preemptive scheduling, ultra-low power OS, preemptive sensor kernel, data acquition, berkley motes, cricket, multitasking in sensor network, fuzzy kernel, localization in sensor networks, 900Mhz, Industrial Scientific Medical band, open-source sensor network, mesh topology, cluster topology, cluster tree topology, 802.15 Zigbee, Zigbee Alliance, direct sequence spread spectrum, contant-envelope modulation, production samples, Chipcon CC2420, low power sensor nodes, design services, sensor network research, 2420 Chipcon, low-power wireless sensor, better than motes.

Channel access in sensor networks, Access control, peer-to-peer topology, data rate 1Mbps, data rate 250Kbps, data services, star topology, peer-to-peer topology, two-layer cluster tree, 2.4Ghz, MAC data transfer, wireless structural monitoring, wireless sensors, wireless accelerometers, autonomous damage detection, beacon, localization in sensor networks, global time synchronization, beacon frames, data frames. Sensor networks, ultra-low power sensor nodes, 802.15.4, wireless sensors, low rate wireless personal area networks, WLAN, WPAN, wireless sensor network topology, network architecture, sensor power consumption, 2.4Ghz frequency band, receiver sensitivity, sensor network architecture, ISM band, self-organizing network, AES security, quality of service QOS, Zigbee, wireless Zigbee, wireless 802.15.4 physical layer, MAC layer, network layer, ad-hoc networks, Motes, Tiny OS, real-time kernel, preemptive scheduling, ultra-low power OS, preemptive sensor kernel, data acquition, berkley motes, cricket, multitasking in sensor network, fuzzy kernel, localization in sensor networks, 900Mhz, Industrial Scientific Medical band, open-source sensor network, mesh topology, cluster topology, cluster tree topology, 802.15 Zigbee, Zigbee Alliance, direct sequence spread spectrum, contant-envelope modulation, production samples, Chipcon CC2420, low power sensor nodes, design services, sensor network research, 2420 Chipcon, low-power wireless sensor, better than motes.

Biomedical engineering

Sleep state classification, sleep scoring, LVQ, neural networks in biomedical engineering, automated sleep scoring, automatic sleep scoring, logistic regression, discriminant analysis, BMES, infant sleep states, life-threatening events, heart rate variability,